Manual Index option buying based on momentum + volume + oi change/3strike.

Most beginners enter the market dreaming of profits, but many end up losing money because they start without a plan.

I'm taking a different approach.

For the next 6 months, I'm saving ₹5,000 every month while learning Gold and Bitcoin trading.

My goal isn't to get rich overnight. It's to build a strategy, understand risk, and develop discipline before risking real money.

I'll document the journey honestly—every lesson, mistake, and milestone.

Day 1/180. Saving first. Learning second. Trading later.

What's one thing you wish you knew before your first trade?

Monday & Tuesday update

I was busy with family functions, so I couldn’t post my updates on time. Here’s the update for the last two trading days.

Gross P&L: 40,000
**Trading capital:**10 lakh
Additional profit target: 3 lakh
Maximum capital used over these two days: 10 lakh

I also replied to around 150 DMs for free. It’s difficult to explain everything properly over text, and I still have 83 DMs pending. This has made me realise I should create a more structured learning format, covering the process, setups, risk management and practical lessons in a clearer way.

This is a Windows-based application for NSE F&O analytics, covering all ~220 F&O underlyings. What's in it so far:

- Options: option chain with greeks, PCR analytics, max pain, volatility, straddle & strangle premium charts, and a Strategy Builder with payoff

- Open interest: OI Change, 3-Strike Range (ATM±1 change in OI, re-anchored to spot), OI Flow, Trending OI, a strike-by-strike ledger and OI walls

- Futures: futures board, basis & rollover, OI build-up across the universe (long/short build-up, covering, unwinding), OI vs time

- Market: screener, market overview heatmap with breadth, VIX vs index, FII/DII, and an end-of-day OI scan

- Charts: four panes (spot, future, CE, PE) with indicators; paper-trade or set an alert right from the chart

- Alerts: a no-code builder over price, OI, PCR, IV, build-up and indicators, on your watchlist or all of F&O, with a backtest over past days

- Paper trading: positions and P&L tracked on live prices

- Replay: after the close you can play the day back at 50x with everything above working inside it

The video is the 21 Oct session in Replay:

- Dashboard and watchlist from the open

- BANKNIFTY's Symbol page tabs, then RELIANCE from search

- Charts in four panes, a paper BUY on the 55800 PE and an alert set from the chart

- The alert builder and the alerts feed

- Strategy Builder: buy the 55500 PE, sell the 55000 PE, detected as a Bear Put Spread, sent to paper trading

- Seek forward to 1:44 PM: the PE is up ₹15k, I close it, and the spread is up ₹4k

Analytics only: it doesn't place orders and nothing in it is advice. The engine is Rust and the app is Tauri. The app uses multiple broker APIs.

It's still in beta, so if any manual F&O traders want to review it, DM me.

I don't even know where to start, I'll just pour my rant here 😮‍💨

Well I was working on finding a profitable strategy more than 4-5 months for options buying on index but honestly testing more than 70+ strategies, nothing gives a profit factor and winrate to even achieve breakeven. Why it was frustrating, I used Claude Pro plan to define strategies finding logics applying them, fine tuning parameters but it's just burning tokens away without any results. 3months of spending more than 7.5k on AI costs+Broker API charges and destroying mental and physical health i don't even know whether it'll be possible at this point to see anything.

The one's who's already having something definitely won't tell you why would they?

Everyone will come and say that's why options selling is better but the real issue was for options selling you need more capital if I have that why would I need to do this, I should put them in safer arbitrage funds for short term, Bees or even do swing trading.

Just putting my trust on dumb luck if there is anyone who's willing to work with me or having a algo that available for testing or public ones I'm more happy to contribute.

Pls don't ask to me do everything by myself by only providing strategies found on random YouTube or somewhere else. I can contribute but not do everything without any help from other side!

Overall gist is when u run non correlated strategies across segments and instruments with sound logic. It reduces the dd and smooth equity curve as each of the system performs in its own cycle and together you have portfolio designed for majority of the simulations and cycles

I have been on it for roughly 3 months now, every spent 100s in AI costs, can't find a single strategy in options buying that actually is profitable.

I mean, not even 1 where PF > 1.25 and win rate > 40%.

Please give me some pointers!

If ever you wanted clean technical and financial data from official sources without paying a penny here you go , enjoy the dishes
https://github.com/abhij1306/NSE-pasta
https://github.com/abhij1306/NSE-noodles

Hi Algo fam,

I’m planning an algo-trading setup for intraday equities and looking for strategies to research and backtest.

For those running algorithms in live markets, which approaches have worked for you—momentum, mean reversion, opening-range breakouts, VWAP-based strategies, or something else?

I’d appreciate insights on:

• The strategy type, market, and timeframe you trade.
• How long you’ve been running it live.
• How live performance compares with your backtests after fees and slippage.
• The market conditions where it performs well or struggles.
• Any execution or risk-management lessons you’ve learned.

I’m also considering building a backtesting platform to test multiple strategies and compare their results. High-level descriptions and practical experiences would help me decide where to start.